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Topological mapping offers a compact and robust representation for navigation, but progress in the field is hindered by the lack of standardized evaluation metrics, datasets, and protocols. Existing systems are assessed using different…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Jiaming Wang , Diwen Liu , Jizhuo Chen , Harold Soh

This paper applies the Thomas decomposition technique to nonlinear control systems, in particular to the study of the dependence of the system behavior on parameters. Thomas' algorithm is a symbolic method which splits a given system of…

Optimization and Control · Mathematics 2020-01-24 Markus Lange-Hegermann , Daniel Robertz

This paper argues that the operations of a 'Universal Turing Machine' (UTM) and equivalent mechanisms such as the 'Post Canonical System' (PCS) - which are widely accepted as definitions of the concept of `computing' - may be interpreted as…

Artificial Intelligence · Computer Science 2007-05-23 J Gerard Wolff

A modeling methodology and matrix formalism is presented that permits analysis of arbitrarily complex interferometric waveguide systems, including polarization and backreflection effects. Considerable improvement results from separation of…

Mathematical Physics · Physics 2015-05-20 Robert P. Dahlgren

Simultaneous Localization and Mapping (SLAM) stands as one of the critical challenges in robot navigation. A SLAM system often consists of a front-end component for motion estimation and a back-end system for eliminating estimation drifts.…

Robotics · Computer Science 2025-08-12 Taimeng Fu , Shaoshu Su , Yiren Lu , Chen Wang

We provide an introduction to the old-standing problem of isometric immersions. We combine a historical account of its multifaceted advances, which have fascinated geometers and analysts alike, with some of the applications in the…

Differential Geometry · Mathematics 2023-10-05 Qing Han , Marta Lewicka

With the rapid advancement of artificial intelligence, multi-agent systems (MASs) are evolving from classical paradigms toward architectures built upon large foundation models (LFMs). This survey provides a systematic review and comparative…

Artificial Intelligence · Computer Science 2026-04-21 Zixiang Wang , Mengjia Gong , Qiyu Sun , Jing Xu , Shuai Mao , Xin Jin , Qing-Long Han , Yang Tang

Different graph generalizations have been recently used in an ad-hoc manner to represent multilayer networks, i.e. systems formed by distinct layers where each layer can be seen as a network. Similar constructions have also been used to…

Discrete Mathematics · Computer Science 2016-09-30 Klaus Wehmuth , Éric Fleury , Artur Ziviani

The General Automated Machine learning Assistant (GAMA) is a modular AutoML system developed to empower users to track and control how AutoML algorithms search for optimal machine learning pipelines, and facilitate AutoML research itself.…

Machine Learning · Computer Science 2021-10-08 Pieter Gijsbers , Joaquin Vanschoren

Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for realizing future wireless systems. In this paper, we propose an ISAC processing framework relying on millimeter-wave (mmWave) massive…

Information Theory · Computer Science 2022-09-12 Zhen Gao , Ziwei Wan , Dezhi Zheng , Shufeng Tan , Christos Masouros , Derrick Wing Kwan Ng , Sheng Chen

Although the isogeometric analysis has shown its great potential in achieving highly accurate numerical solutions of partial differential equations, its efficiency is the main factor making the method more competitive in practical…

Numerical Analysis · Mathematics 2025-01-10 Tao Wang , Xucheng Meng , Ran Zhang , Guanghui Hu

IFISS is an established MATLAB finite element software package for studying strategies for solving partial differential equations (PDEs). IFISS3D is a new add-on toolbox that extends IFISS capabilities for elliptic PDEs from two to three…

Numerical Analysis · Mathematics 2022-09-28 Georgios Papanikos , Catherine E. Powell , David J. Silvester

Feature matching is a crucial task in the field of computer vision, which involves finding correspondences between images. Previous studies achieve remarkable performance using learning-based feature comparison. However, the pervasive…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Yesheng Zhang , Xu Zhao

The work is devoted to the construction of a new interval arithmetic which would combine algorithmic efficiency and high quality estimation of the ranges of expressions.

Numerical Analysis · Mathematics 2022-04-21 Dmitry A. Skorik

Visual thinking plays an important role in scientific reasoning. Based on the research in automating diverse reasoning tasks about dynamical systems, nonlinear controllers, kinematic mechanisms, and fluid motion, we have identified a style…

Artificial Intelligence · Computer Science 2009-09-25 K. Yip , F. Zhao

Primarily this paper presents an expository report on alternatives to the traditional methods of classifying representations of finite dimensional algebras. Some new results illustrating such alternatives for algebras with only finitely…

Representation Theory · Mathematics 2014-07-10 Birge Huisgen-Zimmermann

The technique of intensity mapping (IM) has emerged as a powerful tool to explore the universe at $z < 6$. IM measures the integrated emission from sources over a broad range of frequencies, unlocking significantly more information than…

Cosmology and Nongalactic Astrophysics · Physics 2019-11-01 Hamsa Padmanabhan

We study a new model theory for formal mathematical systems that we developed in a previous paper. We introduce isomorphic and homomorphic structures for formal languages, present some results and examples and conclude our paper with a…

Logic · Mathematics 2026-05-07 Matthias Kunik

These notes develop aspects of perturbation theory of matrices related to so-called diagonalisation schemes. Primary focus is on constructive tools to derive asymptotic expansions for small/large parameters of eigenvalues and…

Analysis of PDEs · Mathematics 2010-12-23 Kay Jachmann , Jens Wirth

We define a general mathematical framework for studying post-translational modification processes under the assumption of mass action kinetics.

Quantitative Methods · Quantitative Biology 2011-12-14 Elisenda Feliu , Lars N. Andersen , Michael Knudsen , Carsten Wiuf
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